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Clinical outcomes from a phase I clinical trial of a novel oncolytic virus VG161 in patients with hepatocellular carcinoma (HCC) refractory after 2 prior lines of therapy including checkpoint inhibitors (CPI).

2024· article· en· W4399881223 on OpenAlexaff
Yinan Shen, Xingmei Liang, Xinyan Jin, Qian Tan, Ronghua Zhao, Guyue Wei, Fang Tian, Yuwei Li, Lei Wang, Shah Rahimian, Jun Ding, William Jia, Manu Singh, Yanal Murad, Maoliang Huang, Yuntao Zhang, Guoming Shi, Howard L. Kaufman, Xueli Bai, Tingbo Liang

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsVancouver Biotech (Canada)
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsMedicineInternal medicineHepatocellular carcinomaOncolytic virusGastroenterologyAdverse effectRefractory (planetary science)Response Evaluation Criteria in Solid TumorsOncologyCancerPhases of clinical researchClinical trial

Abstract

fetched live from OpenAlex

4105 Background: This study aims to investigate the safety and anti-tumor activity of VG161 expressing IL12, IL15/IL15 receptor α unit, and PD-L1 blocking peptide in patients with HCC refractory to standard therapies. Methods: The study was conducted as a multicenter phase I trial with fast titration and 3+3 dose escalation part (A) and expansion part (B), which enrolled patients with primary liver cancer refractory to standard therapies. Patients in part A were dosed in 5 cohorts on days 1, 2 and 3 by image-guided intratumoral injections with dosing ranges from 1.0×10^8 to 5×10^8 PFU per 28 days treatment cycles. Part B used a single arm Simon's two-stage design at the recommended phase 2 dose (RP2D). The study endpoints were safety, and efficacy assessed by objective response rate (ORR) and Disease Control Rate (DCR) by RECIST1.1 and mRECIST (HCC), PFS and OS. Pretreatment HCC tumor samples were collected and analyzed by RNAseq. Results: 44 patients including 40 HCC (Male/Female: 37/3; median age: 58years) were dosed and no DLTs were reported. The most common Treatment-Related Adverse Events (TRAEs) was fever, which was resolved with symptomatic treatment. RP2D was determined as 1ⅹ10^8 PFU daily on day 1, 2 and 3 of each cycle. Of 40 HCC patients, 35 failed after 2 prior lines of therapy and were eligible for tumor assessment. ORR was 17.14% (6/35), DCR was 60.00% (21/35). The median PFS and OS were 2.90 (95%CI: 1.85-3.95) and 9.40 (95%CI: 0.47-18.33) months respectively. Statistically significant OS prolongation was observed in a subgroup of 22 HCC patients who progressed after receiving at least 3 months of CPI (PreCPI>3 m) as compared to those who received CPI for ≤3 months (PreCPI ≤ 3 m). The median OS was 17.30 months (95%CI: 5.35-29.25) vs. 7.40 months (95%CI: 5.11-9.69), HR: 0.32 (95%CI: 0.10 to 0.98) (p<0.05). Patients who received targeted or CPI therapies after VG161 survived longer than those who did not receive any anticancer treatment although they all previously failed such therapies [20.10 months (95%CI: 13.19-27.01) vs. 8.80 months (95%CI: 6.34-11.26), HR: 0.30 (95%CI: 0.10-0.88), P<0.05]. PreCPI>3 m and anti-cancer treatment after VG161 were the 2 independent factors with significant impact on OS (P<0.05). A gene signature was identified based on RNAseq data which predicted the prolonged OS in the study patients (P<0.01) but not in patients retrieved from TCGA database. Conclusions: VG161 was well tolerated and demonstrated comparable ORR and DCR with other CPIs data in 2L HCC. VG161 also prolonged survival in a subgroup of patients identified by prior treatment or gene signature, supporting further studies with enrichment of patients who may benefit from the treatment. The implications of pre/post VG161 CPI treatment on OS underscore a combination strategy for improving outcomes. Clinical trial information: NCT04806464 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.167
GPT teacher head0.483
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2024
Admission routes1
Has abstractyes

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